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Publications

Journals

  • Vishnu K N and Cota Navin Gupta 2024 Prog. Biomed. Eng. 6 042004(Impact Factor:5)[Link to paper]
  • Hazarika, D.; Vishnu, K.N.; Ransing, R.; Gupta, C.N. "Dynamical Embedding of Single-Channel Electroencephalogram for Artifact Subspace Reconstruction." Sensors 2024, 24, 6734.(Impact Factor:3.4)[Link to paper]
  • S.Bordoloi, C.N.Gupta, S.M.Hazarika, “Understanding effects of observing affordance-driven action during motor imagery through EEG analysis,” Exp Brain Res, 242, 2473–2485, 2024.[link to Paper].
  • T.Samantaray, M.Anand, J.Saini, C.N.Gupta, ‘Introspection of UBNIN and Modified-UBNIN Algorithms for Structural MRI. Reply to Kelly et al. A Comparison of Brain-State Representations of Binary Neuroimaging Connectivity Data. Comment on “Samantaray et al. Unique Brain Network Identification Number for Parkinson’s and Healthy Individuals Using Structural MRI. Brain Sci. 2023, 13, 1297”’. Brain Sciences. 2024; 14(5):424. (Impact Factor:3)[Link to paper]
  • S.Panda,D.Shivakumar, Y.Majumder, C.N.Gupta, B.Hazra,"Real-time dynamic analysis of EEG Response for Live Indian Classical Vocal Stimulus with Therapeutic Indications, Smart Health,2024,100461, ISSN 2352-6483[Link to Paper]
  • T.Samantaray, J.Saini, C.N.Gupta, “Brain Connectivity of Parkinson Subgroups using Structural MRI,”s Biomed. Phys. Eng. Express 10 025012; 2024. (Impact Factor:1.3)[Link to Paper]
  • T Samantaray, U Gupta, J Saini, C.N. Gupta., "Unique Brain Network Identification Number for Parkinson’s and Healthy Individuals Using Structural MRI" Brain Sciences, 2023 (Impact Factor 3.33).
  • T Samantaray, J Saini, C.N.Gupta., "Subgrouping and Structural Brain Connectivity of Parkinson's Disease–Past Studies and Future Directions." Neuroscience Informatics, 2022.
  • M Simões, D Borra, ES Vázquez et al., "BCIAUT-P300: A multi-session and multi-subject benchmark dataset on autism for P300-based brain-computer-interfaces." Frontiers in Neuroscience, 2020 (Impact factor 5.15).
  • CN Gupta, JA Turner, VD Calhoun "Source-based morphometry: a decade of covarying structural brain patterns." Brain Structure and Function, 2019 (Impact factor 3.74).
  • MA Rahaman, JA Turner, CN Gupta et al., “N-BiC: A method for multi-component and symptom biclustering of structural MRI data: Application to schizophrenia,” IEEE Transactions on Biomedical Engineering, 2019 (Impact Factor: 5.23).
  • CN Gupta, JA Turner, VD Calhoun. “Source-based morphometry: Data-driven multivariate analysis of structural brain imaging data”, Brain Morphometry, 2018.
  • CN Gupta, E Castro, S Rachkonda et al., “Biclustered independent component analysis for complex biomarker and subtype identification from structural magnetic resonance images in schizophrenia” Frontiers in psychiatry, 2017 (Impact Factor: 5.43).
  • C Wright, CN Gupta, J Chen et al., “Polymorphisms in MIR137HG and microRNA-137-regulated genes influence gray matter structure in schizophrenia”, Translational psychiatry, 2016 (Impact factor 7.98).
  • CN Gupta, J Chen, J Liu, E Damaraju, C Wright, NP Bizzozero, G Pearlson, L Luo, AM Michael, J Turner, VD Calhoun, “Genome‐wide significant linkage of schizophrenia‐related neuroanatomical trait to 12q24”, American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 2015 (Impact factor 3.35).
  • CN Gupta, VD Calhoun, S Rachkonda, J Segall, L Wang, et al. “Patterns of gray matter loss in Schizophrenia based on an international mega-analysis”, Schizophrenia Bulletin, Dec 2015 (Impact Factor: 7.34) (197 citations on Google scholar as of April 2023).
  • VS Patel, S Kelly, C Wright, CN Gupta, AA Vasquez, NP Bizzozero et al., “MIR137HG risk variant rs1625579 genotype is related to corpus callosum volume in schizophrenia”, Neuroscience Letters, 2015 (Impact Factor:3.19).
  • DA Bridwell, C Roth, CN Gupta, VD Calhoun, “Cortical response similarities predict which audiovisual clips individuals viewed, but are unrelated to clip preference”, PloS one, 2015 (Impact Factor:3.75).
  • CN Gupta, J Chen, J Liu et al., "Genetic markers of white matter integrity in schizophrenia revealed by parallel ICA", Frontiers in human neuroscience, 2015.
  • J Chen, J Liu, VD Calhoun, Alejandro Arias-Vasquez, Marcel P Zwiers, C.N.Gupta, Barbara Franke, Jessica A Turner, “Exploration of scanning effects in multi-site structural MRI studies,” Journal of neuroscience methods, 2014 (Impact Factor: 2.98) (109 citations as of April 2023).
  • C Roth, CN Gupta, SM Plis et al.,“The influence of visuospatial attention on unattended auditory 40 Hz responses,” Frontiers in human neuroscience (Impact Factor: 3.47).

Conference Proceedings

  • C. N. Gupta, L. Hadaya and C. Nosarti, "Identifying Subgroups and Novel Brain-Behavior Associations in Adolescents Who were Born Very Preterm Using Bi-clustering Approaches," 2023 IEEE 20th India Council International Conference (INDICON), Hyderabad, India, Dec 2023, pp. 225-227, [Link to Paper]
  • Hazarika, K., Gupta, C.N. (2023). Multivariate Data-Driven Approach to Identify Reliable Neural Components and Latency in a P300 Dataset Using Correlated Component Analysis. In: Das, S., Saha, S., Coello Coello, C.A., Bansal, J.C. (eds) Advances in Data-driven Computing and Intelligent Systems. Lecture Notes in Networks and Systems, vol 653. Springer, Singapore.[Link to Paper]
  • R. Bhagawati, S. Chanda, C. N. Gupta and S. Hazarika, "Experimental results from a proof-of-concept method for accurate volumetric estimation of hematoma in asymmetrically formed objects comprising solid materials as impediments." 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2023, pp. 1-6,[Link to Paper][PDF]
  • D Hazarika, S Chanda, CN Gupta, "Smartphone-based natural environment electroencephalogram experimentation-opportunities and challenges", 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2022. [Link to Paper] [PDF]
  • KN Vishnu, S Madhavan, CN Gupta "Cross-session Classification of Mental Workload Levels using Recurrent Neural Networks", IEEE Symposium Series on Computational Intelligence (SSCI), 2022. [Link to Paper] [PDF]
  • S Bordoloi, P Saikia, CN Gupta, SM Hazarika, "Neural Correlates of Motor Imagery during Action Observation in Affordance-based Actions: Preliminary Results", 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022. [Link to Paper] [PDF]
  • T Samantaray, J Saini, CN Gupta, "Sparsity Dependent Metrics Depict Alteration of Brain Network Connectivity in Parkinson's Disease", 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022. [Link to Paper] [PDF]
  • R Bhagawati, S Hazarika, CN Gupta, S Chanda, "Precise volumetric quantification of blood (hematoma) in deformable solids/organs: preliminary results based on a proof-of-concept scheme", International Conference on Electrical, Computer and Energy Technologies, 2021. [Link to Paper] [PDF]
  • S Madhavan, CN Gupta, "ICEEMD based data driven filtering for P300 BCIs", Neuroergonomics conference, 2021. [Link to Paper] [PDF]
  • AK Pal, Dipanjan Roy, G. Vinodh Kumar, Bipra Chatterjee, L. N. Sharma, Arpan Banerjee, and C.N. Gupta "Empirical Mode Decomposition Algorithms for Classification of Single-Channel EEG Manifesting McGurk Effect." International Conference Series on Intelligent Human Computer Interaction 2019. [Link to Paper] [PDF]
  • B Chatterjee, R Palaniappan, and CN Gupta. "Performance Evaluation of Manifold Algorithms on a P300 Paradigm Based Online BCI Dataset." Mediterranean Conference on Medical and Biological Engineering and Computing. Springer, Cham, 2019. [Link to Paper]
  • S Panwar, CN Gupta, "Performance Optimized Approach for Automatic Fiducial Localization in Medical Imaging to Assist Robot-guided Neurosurgery", IEEE EMBS International Student Conference 2018, Bangalore, December 2018. [Link to Paper]
  • B Chatterjee, AK Pal, CN Gupta, "A Comparative Study Between Random Forest and BLDA on P300 Paradigm Based BCI", The fifth Annual Conference of Cognitive Science, Indian Institute of Technology Guwahati, Oct 2018.
  • A Siroha, CN Gupta, "Deciphering two dimensional clustering from genetics for clinical subtyping in Alzheimer's Neuroimaging datasets", Brainmodes conference,Delhi , Dec 2017